The Systems and Practices Laboratory at the Xerox Palo Alto Research
Center (PARC) is looking for researchers at the PhD level to join us in
a team effort to develop concepts and software for constraint-based
embedded control. Our problems are typically large-scale, non-linear,
hybrid optimization problems, and our applications are in the
real-time, embedded control domain. A candidate should have expertise
in the implementation of modern constraint solving and optimization
techniques and/or control methods for large-scale, distributed systems,
plus experience in one or more of the following: applying constraint
programming to control, modeling and reasoning about distributed,
heterogeneous physical systems, adaptive control, model-predictive
control, control theory, and modeling, verification and implementation
of real-time systems.

This research effort is part of PARC's thrust in Smart Matter, which is
creating the ability to embed large numbers of sensors, actuators, and
computation in the world around us. The Distributed Smart Matter
Control project seeks to develop a scalable, distributed approach to
the control of smart matter systems. Researchers will be working in an
energetic multi-disciplinary team seeking to solve both basic and
applied research problems.

To apply, please submit a cover letter explaining your interest, a
resume, and URLs or copies of publications if applicable. Please apply
by email to serajobs@parc.xerox.com (subject: Control Position
Application; attention: Markus Fromherz). Applications will be
processed as received and positions will be filled as suitable
candidates are identified. Xerox is an Equal Employment Opportunity
company committed to workforce diversity.